Package: OptimalBinningWoE
Type: Package
Title: Optimal Binning and Weight of Evidence Framework for Modeling
Version: 1.13.4
Date: 2026-08-25
Authors@R: 
    person(given = "José Evandeilton",
           family = "Lopes",
           role = c("aut", "cre", "cph"),
           email = "evandeilton@gmail.com",
           comment = c(ORCID = "0009-0007-5887-4084"))
Description: High-performance implementation of 37 optimal binning algorithms 
    (16 categorical, 21 numerical) for Weight of Evidence ('WoE') transformation, 
    credit scoring, and risk modeling. Includes advanced methods such as Mixed 
    Integer Linear Programming ('MILP'), Genetic Algorithms, Simulated Annealing, 
    and Monotonic Regression. Features automatic method selection based on 
    Information Value ('IV') maximization, strict monotonicity enforcement, and 
    efficient handling of large datasets via 'Rcpp'. Provides automated variable 
    screening by Information Value strength and bin ordering, and generation of 
    the equivalent 'SQL' 'CASE' expressions for in-database scoring. Fully 
    integrated with the 'tidymodels' ecosystem for building robust machine 
    learning pipelines. 
    Based on methods described in Siddiqi (2006) <doi:10.1002/9781119201731> 
    and Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025>.
License: MIT + file LICENSE
URL: https://github.com/evandeilton/OptimalBinningWoE,
        https://evandeilton.github.io/OptimalBinningWoE/
BugReports: https://github.com/evandeilton/OptimalBinningWoE/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
Imports: Rcpp, recipes, rlang, tibble, dials, stats, utils, graphics
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Suggests: testthat (>= 3.0.0), data.table, openxlsx, glmnet, generics,
        knitr, rmarkdown, tidymodels, workflows, parsnip, tune
Config/testthat/edition: 3
SystemRequirements: C++17
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-08-26 00:32:49 UTC; evandeilton
Author: José Evandeilton Lopes [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0007-5887-4084>)
Maintainer: José Evandeilton Lopes <evandeilton@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-26 21:10:31 UTC
Built: R 4.6.1; x86_64-w64-mingw32; 2026-08-30 15:34:26 UTC; windows
Archs: x64
